[PDF] Predicting Stock Market Movements with Social Media and Machine ...
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Finally, we tested multiple machine learning models, showing that XGBoost is the best model, with the random forest being the second best and LSTM being the ...
Abstract: Microblogging data analysis and sentiment extraction has become a popular approach for market prediction. ... best and LSTM being the worst.
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In this paper, seven different techniques of data mining are applied to predict stock price movement of Shanghai Composite Index.
In this article, we describe artificial intelligence, natural network, and machine learning algorithms for predicting movements of stock prices.
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We use information shared over StockTwits, a social media platform for investors, to better understand and predict individual stock prices.
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In this project, we aim to predict stock prices by using machine learning techniques on data from StockTwits, a social media platform for investors. We ...
Mar 12, 2024 · The aims of this study are to predict the stock price trend in the stock market in an emerging economy. Using the Long Short Term Memory (LSTM) algorithm.